Improved High-Resolution Ultrasonic Imaging of the Eye

Silverman, Ronald H.; Ketterling, Jeffrey A.; Mamou, Jonathan; Coleman, D. Jackson

doi:10.1001/archopht.126.1.94

Cited by 26 publications

(15 citation statements)

References 10 publications

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“…HFU systems can successfully image shallow or low-attenuation tissues for biomedical applications. For example, HFU has already been successfully applied for small animal, 8–10) ocular, 11) intravascular, 12,13) and dermatological imaging. 14) …”

Section: Introductionmentioning

confidence: 99%

Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Bui

Coron

Mamou

et al. 2014

Jpn. J. Appl. Phys.

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This work investigates the statistics of the envelope of three-dimensional (3D) high-frequency ultrasound (HFU) data acquired from dissected human lymph nodes (LNs). Nine distributions were employed, and their parameters were estimated using the method of moments. The Kolmogorov Smirnov (KS) metric was used to quantitatively compare the fit of each candidate distribution to the experimental envelope distribution. The study indicates that the generalized gamma distribution best models the statistics of the envelope data of the three media encountered: LN parenchyma, fat and phosphate-buffered saline (PBS). Furthermore, the envelope statistics of the LN parenchyma satisfy the pre-Rayleigh condition. In terms of high fitting accuracy and computationally efficient parameter estimation, the gamma distribution is the best choice to model the envelope statistics of LN parenchyma, while, the Weibull distribution is the best choice to model the envelope statistics of fat and PBS. These results will contribute to the development of more-accurate and automatic 3D segmentation of LNs for ultrasonic detection of clinically significant LN metastases.

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Section: Introductionmentioning

confidence: 99%

Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Bui

Coron

Mamou

et al. 2014

Jpn. J. Appl. Phys.

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“…The reflected ultrasonic signals are used to construct the image of this region. This principle is developed in ophthalmology to perform diagnosis of malignant tumors of the eye in order to prevent metastasis of cancer and to save human life [6][7][8]. Many different ophthalmologic ultrasonic systems are also known.…”

Section: Introductionmentioning

confidence: 99%

Design of low-noise preamplifier for medical diagnostic system

Laurs

2011

ultra

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Experimental investigation of the developed eye tumors diagnostic system has revealed the tasks of system improvement, like reduction of the noise level of the preamplifier. The reliable solution is selection of analogue components of the preamplifier possessing as low noise level as available in the market of electronic components supply. Simultaneously, well known techniques of noise reduction should be used during the process design also. This paper discuses the design and development of the ultra-low noise preamplifier for medical applications. For the preamplifier schematic the principle of low frequency amplification with reduced the amplifier noise by n , where n is the number of amplifiers, is proposed. Using the final design of the preamplifier the noise factor value of 0.46 dB with gain of 48 dB and bandwidth of 2-35 MHz has been achieved.

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“…Nevertheless, many studies in the past 20 years have demonstrated the unique ability of HFU systems to image shallow or low-attenuation tissues for biomedical applications with fine resolution. For example, recent HFU studies have shown success for small-animal [1], ocular [2], and dermatological imaging [3].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional high-frequency spectral and envelope quantification of excised human lymph nodes

Mamou

Coron

Oelze

et al. 2010

2010 IEEE International Ultrasonics Symposium

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Abstract-Quantitative imaging methods using high-frequency ultrasound (HFU, >20 MHz) offer a means of characterizing biological tissue at the microscopic level. In this study, threedimensional (3D) quantitative-ultrasound (QUS) methods were developed to detect metastases in freshly-dissected lymph nodes of cancer patients. 3D ultrasound radio-frequency data were acquired using a 26-MHz center-frequency transducer, and each node was inked prior to tissue fixation to recover orientation after sectioning for 3D histological evaluation. Backscattered echo signals were processed using 3D cylindrical regions-ofinterest (ROIs) to yield eight QUS estimates associated with tissue microstructure. The first four QUS estimates (i.e., effective scatterer size, acoustic concentration, intercept, and slope) were estimated from a normalized backscattered spectrum, and the other four QUS estimates were obtained by parameterizing the envelope statistics of the ROIs using Nakagami and homodyned-K models. These QUS methods were applied to 145 lymph nodes from 95 colorectal and gastric cancer patients. The ability of these eight QUS estimates to classify lymph nodes and detect cancer was evaluated using ROC curves. An area under the ROC curve of 0.971 with specificity and sensitivity of 91% (using a leave-one-out procedure) were obtained by combining effective scatterer size and one envelope parameter based on the homodyned-K distribution. Therefore, these advanced 3D QUS methods potentially can be valuable for detecting small metastatic foci in dissected lymph nodes.Index Terms-high-frequency ultrasound, quantitative ultrasound, lymph node.

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Improved High-Resolution Ultrasonic Imaging of the Eye

Cited by 26 publications

References 10 publications

Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Design of low-noise preamplifier for medical diagnostic system

Three-dimensional high-frequency spectral and envelope quantification of excised human lymph nodes

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